Enogho David

Collaborated with cross-functional teams to design executive dashboards in Power BI and Streamlit, resulting in a 60% improvement in decision-making speed for a healthcare organization.
Migrated legacy data pipelines to cloud infrastructure, Azure, for a financial services client, reducing data processing time by 60% and enhancing model deployment speed.
Led customer segmentation analysis for a telecommunications company using R and SQL, enabling targeted campaigns that improved customer retention by 21%.
Automated manual reporting processes using Excel and Python scripts, cutting down reporting time from days to hours and saving 12+ hours weekly for a logistics team.
Advised a multinational consulting firm on cloud migration and model deployment using Azure ML, enabling the scalable deployment of machine learning models and achieving a 35% reduction in model inference time.

- Collaborated with cross-functional teams to design executive dashboards in Power BI and Streamlit, resulting in a 60% improvement in decision-making speed for a healthcare organization.
- Migrated legacy data pipelines to cloud infrastructure, Azure, for a financial services client, reducing data processing time by 60% and enhancing model deployment speed.
- Led customer segmentation analysis for a telecommunications company using R and SQL, enabling targeted campaigns that improved customer retention by 21%.
- Automated manual reporting processes using Excel and Python scripts, cutting down reporting time from days to hours and saving 12+ hours weekly for a logistics team.
- Advised a multinational consulting firm on cloud migration and model deployment using Azure ML, enabling the scalable deployment of machine learning models and achieving a 35% reduction in model inference time.

Analyzed large datasets using Python and SQL to identify performance gaps, contributing to a 17% improvement in key business metrics.
Cleaned, transformed, and validated raw data using Python and SQL, ensuring 99% data accuracy for analysis and reporting.
Applied statistical methods, including regression analysis and hypothesis testing, to support strategic planning and optimize key initiatives.
Automated data collection and reporting workflows, reducing manual effort by 40% and accelerating insight delivery across departments.

- Analyzed large datasets using Python and SQL to identify performance gaps, contributing to a 17% improvement in key business metrics.
- Cleaned, transformed, and validated raw data using Python and SQL, ensuring 99% data accuracy for analysis and reporting.
- Applied statistical methods, including regression analysis and hypothesis testing, to support strategic planning and optimize key initiatives.
- Automated data collection and reporting workflows, reducing manual effort by 40% and accelerating insight delivery across departments.

Designed and deployed relational databases using SQL to support data analysis and reporting needs, improving data accessibility for analysts and reducing query response times by 30%.
Defined user roles and streamlined data access workflows, ensuring timely delivery of relevant datasets to stakeholders and enhancing collaboration across departments.
Implemented robust data security protocols and automated backup processes, achieving zero data loss incidents and maintaining 24/7 data availability.
Facilitated organization-wide data literacy by conducting training on data querying and interpretation using SQL and Excel, leading to a 25% improvement in team efficiency when handling data requests.

- Designed and deployed relational databases using SQL to support data analysis and reporting needs, improving data accessibility for analysts and reducing query response times by 30%.
- Defined user roles and streamlined data access workflows, ensuring timely delivery of relevant datasets to stakeholders and enhancing collaboration across departments.
- Implemented robust data security protocols and automated backup processes, achieving zero data loss incidents and maintaining 24/7 data availability.
- Facilitated organization-wide data literacy by conducting training on data querying and interpretation using SQL and Excel, leading to a 25% improvement in team efficiency when handling data requests.